Tinnit utilizes both commercial and non-commercial CFD (Computational Fluid Dynamics) software for flow simulations, enabling the numerical solution of the Navier- Stokes equations. For highly specific tasks, additional codings enable accurately represents the physical processes.

We can cusomize the softwar (TinFlow) according to your requirements and create tailored numerical solution algorithms for your application.

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Environmental Engineering

Whether it’s flue gas cleaning, scrubber systems, wastewater treatment systems or packed bed systems using activated carbon or other adsorbents, feel free to approach us. If you need more certainty in designing a new production facility or ensuring the functionality of an existing one, we can assist you. We offer support in the design of new plants, process optimization and the implementation of suitable heat storage or heat recovery systems to reduce energy consumption. Our competent and innovative team is ready to help you realize your project and meet the challenges of modern energy- efficient systems.


Accurately describing heat and mass transport process across different scales in porous media poses a challenge in many applications. Whether it’s diagnostic membranes or filtration systems, appropriate numerical methods such as the dual-porosity approach are essential for accurately describing adsorption and heat storage. We generate didgit twins from your porous structures based on micro-computed tomography scans and transfer these digitized twins into numerical models for predicting heat and mass transport or capillary liquid transport. This allows for qualification and visualization of your products. If you’re interested in support for designing your production facilities for manufacturing films, electronic systems made from organic substances, or membranes, then you’ve come to the right place. Through suitable film models, they are able to simulate flow process coupled with evaporation. Operating parameters for production and flow-related improvments can be identified and implemented accordingly.

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Gas, Liquid and Energy Storage

Energy-efficient system contribute to a reduction in energy consumption. To achieve energy-efficient operation, thermal storage systems are suitable, especially when they can accommodate larger amounts of energy (seasonally). Tinnit develops storage concepts, such as underground storage or latent heat storage, tailored to your requirements for storing waste heat or temporary heat surpluses from production process. To Optimize these storage concepts, Tinnit utilizes numerical methods for qualification. An innovative approach is the integration of geological exploration data for modeling and calculating the porous subsurface, enabling the prediction of heat charging and discharging times in the underground using the dual-porosity approach. Tinnit supports you from concepts development to implementation by creating digital underground or cavern models to predict storage processes.

Calculation Models for Research and Development

Through active participation in research projects, TinniT always keeps its simulation methods up to date. Currently, TinniT is working on an expansion of its proprietary CFD solver, TinFlow, specifically the extension of the dual-porosity approach for predicting adsorption processes in bioreactors (BioSorb project). The dual-porosity approach allows for the representation of porosities (e.g., packed beds, cellular materials, etc.) as porous regions, where the flow resistance through the porosity can be represented as a dynamic resistance tensor (time- and temperature-dependent). Furthermore, the approach enables the integration of additional conservation equations for energy and concentration, allowing for the consideration of transfers to the non-modeled structure (porous region representing only effective values from fluid + structure), thus accounting for storage processes in the structure. This is achieved through suitable sources and sinks, with transfer coefficients derived from experimental data.

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Energy Technology

A similar approach has been successfully developed and applied in the research project PoroSan for predicting groundwater remediation systems. This methodology can also be applied to underground heat storage processes.

In the EU project MusiCode, a modeling platform is being created for multi-scale physical processes in the production of organic photovoltaic cells. TinniT utilizes its flow solver, TinnFlow, to calculate coating processes of thin organic layers on a substrate and the subsequent solvent evaporation. Dedicated solution algorithms have been implemented to describe the continuum mechanical aspects coupled with film models. For the description of layer formation through the deposition of organic polymers on a substrate, specific slip conditions for friction and heat transfer, as well as material calculation algorithms to determine material properties based on the mean free path of molecules, have been implemented. These extensions are crucial at low pressures. Similar challenges arise in coating tasks in the semiconductor industry and are therefore of high importance. Do you have similarly complex issues where you require expertise? We look forward to hearing from you.

Environment & Process Engineering

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